Defocus Estimation

2 papers with code • 1 benchmarks • 1 datasets

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Greatest papers with code

A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation

zzangjinsun/DHDE_CVPR17 CVPR 2017

In this paper, we introduce robust and synergetic hand-crafted features and a simple but efficient deep feature from a convolutional neural network (CNN) architecture for defocus estimation.

Defocus Estimation Image Generation

Deep Defocus Map Estimation Using Domain Adaptation

codeslake/DMENet CVPR 2019

Our method is evaluated on publicly available blur detection and blur estimation datasets and the results show the state-of-the-art performance. In this paper, we propose the first end-to-end convolutional neural network (CNN) architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map estimation.

Deblurring Defocus Estimation +1